This is presentation corresponds to the third weeek's peer assignment for the course in Developing Data Products at Coursera. Using the Motor Trend Car Road Tests dataset from R, we are going to produce a 3D scatter plot using the plotly library.
October 13th 2018
This is presentation corresponds to the third weeek's peer assignment for the course in Developing Data Products at Coursera. Using the Motor Trend Car Road Tests dataset from R, we are going to produce a 3D scatter plot using the plotly library.
For our 3D Scatter plot we are going to use the Miles/(US) gallon (mpg), Gross horsepower (hp) and Weight (wt) variables as the x, y and z axis respectively. In addition there will be a color scale indicating the number of cylinders (cyl) of each car.
## 'data.frame': 32 obs. of 11 variables: ## $ mpg : num 21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ... ## $ cyl : num 6 6 4 6 8 6 8 4 4 6 ... ## $ disp: num 160 160 108 258 360 ... ## $ hp : num 110 110 93 110 175 105 245 62 95 123 ... ## $ drat: num 3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ... ## $ wt : num 2.62 2.88 2.32 3.21 3.44 ... ## $ qsec: num 16.5 17 18.6 19.4 17 ... ## $ vs : num 0 0 1 1 0 1 0 1 1 1 ... ## $ am : num 1 1 1 0 0 0 0 0 0 0 ... ## $ gear: num 4 4 4 3 3 3 3 4 4 4 ... ## $ carb: num 4 4 1 1 2 1 4 2 2 4 ...
This slide contains a 3d scatter plot using the mtcars dataset as described earlier: